relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4083/
title: Practical approach to access the impact of global variables on program parallelism
creator: Nguyen, Thu Trang
creator: Nguyen, Hue
creator: Bui, Quang Cuong
creator: Pham, Ngoc Hung
creator: Vo, Dinh Hieu
creator: Takeuchi, Shigeki
subject: Information Technology (IT)
description: Global variables may have a significant impact on preventing programs from automatic parallelism. This paper introduces a practical approach to measure the effect of global variables on program parallelism. First, we conduct static data dependence analysis among program variables and represent such dependencies by a Variable Dependence Graph. Then, we analyze this graph for measuring and identifying which global variables have a significant impact on program parallelism. To evaluate this approach, we conduct experiments on 20 benchmark programs and an industrial application. The experimental results show that half of the studied programs contain large impact variables which may be the cause of preventing programs from parallel execution.
date: 2020-11-25
type: Conference or Workshop Item
type: NonPeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4083/1/Global_variables_impact.pdf
identifier:   Nguyen, Thu Trang and Nguyen, Hue and Bui, Quang Cuong and Pham, Ngoc Hung and Vo, Dinh Hieu and Takeuchi, Shigeki  (2020) Practical approach to access the impact of global variables on program parallelism.  In: 14th International Conference on Advanced COMPuting and Applications, 25 November 2020.